时间:2021-05-23
我们有三张表,我们需要分类统计一段时间内抗生素的不同药敏结果,即 report_item_drugs 表的 drugs_result, 在不同项目project_name 和不同抗生素 antibiotic_dict_name 下的占比,并将药敏结果显示在行上,效果如下:
三张原始表(仅取需要的字段示例),分别是:
报告表
项目表
抗生素表(药敏结果drugs_result为一列值)
1、按照项目、抗生素分组求出检出的总数
SELECT A.project_name,A.antibiotic_dict_name,SUM(nums) AS 检出总数FROM ( SELECT i.project_name,d.antibiotic_dict_name,d.drugs_result,COUNT(d.id) AS nums FROM `report` r RIGHT JOIN report_item i ON r.id=i.report_id RIGHT JOIN report_item_drugs d ON d.report_item_id=i.id WHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result ) A GROUP BY A.project_name,A.antibiotic_dict_name2、按照项目、抗生素、药敏结果求出不同药敏结果数量
SELECT i.project_name,d.antibiotic_dict_name,IF(d.drugs_result<>'', d.drugs_result, '未填写') AS drugs_result,COUNT(d.id) AS 数量 FROM `report` rRIGHT JOIN report_item i ON r.id=i.report_idRIGHT JOIN report_item_drugs d ON d.report_item_id=i.idWHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result3、将两个结果关联到一起
SELECT BB.project_name,BB.antibiotic_dict_name,BB.drugs_result,BB.`数量`,AA.`检出总数` FROM ( SELECT A.project_name,A.antibiotic_dict_name,SUM(nums) AS 检出总数 FROM ( SELECT i.project_name,d.antibiotic_dict_name,d.drugs_result,COUNT(d.id) AS nums FROM `report` r RIGHT JOIN report_item i ON r.id=i.report_id RIGHT JOIN report_item_drugs d ON d.report_item_id=i.id WHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result ) A GROUP BY A.project_name,A.antibiotic_dict_name ) AA RIGHT JOIN ( SELECT i.project_name,d.antibiotic_dict_name,IF(d.drugs_result<>'', d.drugs_result, '未填写') AS drugs_result,COUNT(d.id) AS 数量 FROM `report` r RIGHT JOIN report_item i ON r.id=i.report_id RIGHT JOIN report_item_drugs d ON d.report_item_id=i.id WHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result )BB ON AA.project_name=BB.project_name AND AA.antibiotic_dict_name=BB.antibiotic_dict_name WHERE AA.`检出总数`<>''4、一般来说,到上一步不同药敏数量和总数都有了,可以直接求比例了
但是,我们需要的是将药敏显示到行上,直接求比不符合需求,所以我们需要将列转换为行
我们借助于case when实现行列转换,并将药敏结果根据字典转为方便阅读的汉字
SELECT C.project_name 项目名称,C.antibiotic_dict_name 抗生素名称,C.`检出总数`, SUM(CASE C.`drugs_result` WHEN 'D' THEN C.`数量` ELSE 0 END ) AS '剂量依赖性敏感', CONCAT(SUM(CASE C.`drugs_result` WHEN 'D' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '剂量依赖性敏感比率', SUM(CASE C.`drugs_result` WHEN 'R' THEN C.`数量` ELSE 0 END ) AS '耐药', CONCAT(SUM(CASE C.`drugs_result` WHEN 'R' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '耐药比率', SUM(CASE C.`drugs_result` WHEN 'S' THEN C.`数量` ELSE 0 END ) AS '敏感', CONCAT(SUM(CASE C.`drugs_result` WHEN 'S' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '敏感比率', SUM(CASE C.`drugs_result` WHEN 'I' THEN C.`数量` ELSE 0 END ) AS '中介', CONCAT(SUM(CASE C.`drugs_result` WHEN 'I' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '中介比率', SUM(CASE C.`drugs_result` WHEN 'n1' THEN C.`数量` ELSE 0 END ) AS '非敏感', CONCAT(SUM(CASE C.`drugs_result` WHEN 'n1' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '非敏感比率', SUM(CASE C.`drugs_result` WHEN 'N' THEN C.`数量` ELSE 0 END ) AS '无', CONCAT(SUM(CASE C.`drugs_result` WHEN 'N' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '无比率', SUM(CASE C.`drugs_result` WHEN '未填写' THEN C.`数量` ELSE 0 END ) AS '未填写', CONCAT(SUM(CASE C.`drugs_result` WHEN '未填写' THEN FORMAT(C.`数量`/C.`检出总数`*100,2) ELSE 0 END),'%') AS '未填写比率'FROM( SELECT BB.project_name,BB.antibiotic_dict_name,BB.drugs_result,BB.`数量`,AA.`检出总数` FROM ( SELECT A.project_name,A.antibiotic_dict_name,SUM(nums) AS 检出总数 FROM ( SELECT i.project_name,d.antibiotic_dict_name,d.drugs_result,COUNT(d.id) AS nums FROM `report` r RIGHT JOIN report_item i ON r.id=i.report_id RIGHT JOIN report_item_drugs d ON d.report_item_id=i.id WHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result ) A GROUP BY A.project_name,A.antibiotic_dict_name ) AA RIGHT JOIN ( SELECT i.project_name,d.antibiotic_dict_name,IF(d.drugs_result<>'', d.drugs_result, '未填写') AS drugs_result,COUNT(d.id) AS 数量 FROM `report` r RIGHT JOIN report_item i ON r.id=i.report_id RIGHT JOIN report_item_drugs d ON d.report_item_id=i.id WHERE r.report_status=2 AND r.add_date BETWEEN '2020-01-01' AND '2020-12-30' GROUP BY i.project_id,d.antibiotic_dict_id,d.drugs_result )BB ON AA.project_name=BB.project_name AND AA.antibiotic_dict_name=BB.antibiotic_dict_name WHERE AA.`检出总数`<>'' ) CGROUP BY C.project_name,C.antibiotic_dict_name;5、查看结果,成功转换
到此这篇关于mysql 行列转换的示例代码的文章就介绍到这了,更多相关mysql 行列转换内容请搜索以前的文章或继续浏览下面的相关文章希望大家以后多多支持!
声明:本页内容来源网络,仅供用户参考;我单位不保证亦不表示资料全面及准确无误,也不保证亦不表示这些资料为最新信息,如因任何原因,本网内容或者用户因倚赖本网内容造成任何损失或损害,我单位将不会负任何法律责任。如涉及版权问题,请提交至online#300.cn邮箱联系删除。
这篇文章通过sql示例代码给大家介绍了mysql数据库如何实现行列转换,下面话不多说,直接来看示例代码吧。原表:表名:user-----------------
本文实例讲述了Oracle实现行列转换的方法。分享给大家供大家参考,具体如下:1、固定列数的行列转换如:studentsubjectgrade---------
相对于其他方法实现MySQL的读写分离来说,采用Thinkphp框架实现MySQL的读写分离简单易用,其配置文件示例代码如下:'DB_TYPE'=>'mysql
本文实例为大家分享了python读取mysql数据绘制条形图的具体代码,供大家参考,具体内容如下Mysql脚本示例:createtabledemo(idint,
在Excel应用中,有时会需要进行行列转换,我们可以是可以根据需要将Excel表格的行转换成列,或列转换成行,下面小编就来讲讲Excel如何转换表格行列?Exc